# Arete-27B vs DeepSeek-V3.2 (slim)

> DeepSeek-V3.2 scores 58.6 (C) to Arete-27B's 55.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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DeepSeek-V3.2 scores 58.6 (C) on agent readiness against Arete-27B's 55.1 (C), and leads in 1 of 4 scored categories. Arete-27B leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- DeepSeek-V3.2: C 58.6, rank #102 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Risk, 55 against 50; Documentation and upkeep, 63 against 34.
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Reach, 60 against 50.

| Category | Arete-27B | DeepSeek-V3.2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 60 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 63 | 34 |

| Fact (where they differ) | Arete-27B | DeepSeek-V3.2 |
| --- | --- | --- |
| Vendor | Nous Research | DeepSeek |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-11-06 | 2025-12-01 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Documentation and upkeep, Arete-27B +29: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); DeepSeek-V3.2 34 (The model card earns 14 when read with DeepSeek's own V3.2 model card PDF, which adds intended use and a parameter count, leaving languages and a knowledge cut-…)
- Reach, DeepSeek-V3.2 +10: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); DeepSeek-V3.2 60 (Memory earns nothing, because the only build from DeepSeek or a runtime's library is the 689.5 GB FP8 release, which needs about 827 GB with the fifth added.)
- Risk, Arete-27B +5: Arete-27B 55 (File safety 25, safetensors only and no remote code.); DeepSeek-V3.2 50 (File safety earns 15, safetensors only but 10 off because prompts are built by running DeepSeek's Python from the repository.)